IDEAS home Printed from https://ideas.repec.org/h/spr/isochp/978-0-387-71134-8_3.html
   My bibliography  Save this book chapter

Modeling Large Scale and Complex Infrastructure Systems as Computable Games

In: Network Science, Nonlinear Science and Infrastructure Systems

Author

Listed:
  • Terry L. Friesz

    (The Pennsylvania State University)

  • Reetabrata Mookherjee

    (The Pennsylvania State University)

  • Srinivas Peeta

    (Purdue University)

Abstract

Infrastructure systems for generalized transportation – such as goods, passengers and water – take the form of networks. These networks typically have interdependencies which are not addressed in engineering practice. In order to make efficient policy regarding an infrastructure system, the impacts of that policy on other interdependent infrastructure systems must be understood. The combination of the different layers of the interconnected infrastructure network may be thought of as a system of systems representing the grand infrastructure system. Users of the system of systems may be thought of as agents competing for the limited capacities of the network layers. Dynamic game theory is a natural method for modeling systems of systems in an effort to make better infrastructure decisions. However, to be of use, these models must be computable and thus some different solution techniques for general equilibrium models are discussed.

Suggested Citation

  • Terry L. Friesz & Reetabrata Mookherjee & Srinivas Peeta, 2007. "Modeling Large Scale and Complex Infrastructure Systems as Computable Games," International Series in Operations Research & Management Science, in: Terry L. Friesz (ed.), Network Science, Nonlinear Science and Infrastructure Systems, chapter 0, pages 53-75, Springer.
    • Handle: RePEc:spr:isochp:978-0-387-71134-8_3
    DOI: 10.1007/0-387-71134-1_3
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:isochp:978-0-387-71134-8_3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.